Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Augmented decision making capabilities for innovation management and continuous improvement by organizations

In this project, our goal is to set up a framework of data collection to support user profiling which could be used to identify influential users in decision-making. The profile will be built based on the information of individual users obtained by collecting user activities in rewarding challenges that encourage employees, customers and partners to participate. In order to derive the profile, natural language processing tools are applied to extract useful information. After the user profile is obtained, we will conduct profile analysis which obtains user decision-making weight index, that is, the larger the index, the greater weight will be assigned to the individual in future decisions. In addition to the decision-making weight index, user interest can be extracted, such that subsequent services could be targeted on those influencers to increase efficiency.

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Faculty Supervisor:

Linglong Kong

Student:

Lei Ding

Partner:

Output Services Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program:

Accelerate

Mathematical modelling of Reversible Solid Oxide Fuel Cells (RSOFCs) for the conversion of CO2 and H2O to syngas

SeeO2 energy and the Birss group (UCalgary) have developed world-leading catalysts for RSOFC systems with promising performance for the production of syngas and power from H2O/CO2 feeds. Today, the company is aiming to scale-up this technology and move towards commercialization by building larger cells, up to 5 x 5 cm2 (16 cm2 electrode area). However, the process of scaling-up RSOFCs presents many challenges in understanding the effects of fabrication and operation parameters on the cell performance at larger scale. Therefore, developing a mathematical model for the system presents an opportunity to understand and interpret complex results while supporting the development of pathways for optimization, design parameters and decreasing experimental work that generates significant delays and costs. This project aims to develop a mathematical model of the RSOFC system capable of predicting the cell performance under changing operation conditions and design parameters. TO BE CONT’D

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Faculty Supervisor:

Venkataraman Thangadurai

Student:

Shamiul Islam

Partner:

SeeO2 Energy Inc

Discipline:

Chemistry

Sector:

Energy

University:

Program:

Accelerate

A new rapid method for clay, silt and sand-sized mineral particle size measurements of soils and soil products

Information on the proportions of clay, silt and sand-sized mineral particles in soils and in soil products used for construction is critical for understanding their physical and chemical properties and for their proper use and management. However, these soil mineral particles are usually glued together with inorganic cements (calcium carbonate, iron and aluminum oxides/hydroxides) and organic matter which can make measurements of the proportions of the individual mineral size separates using current methods problematic. We propose to develop a novel rapid method to measure soil mineral particle size distribution employing pre-treatments to separate the mineral fraction into constituent clay, silt and sand-size fractions followed by an analysis called integral suspension pressure measurement using an instrument- UMS PARIO to measure their sedimentation characteristics. This instrument is newly developed by UMS AG, München, and we are the first in North America to test it.

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Faculty Supervisor:

Paul Voroney

Student:

Xiaowei Zhang

Partner:

Mar-Co

Discipline:

Environmental sciences

Sector:

Information and communications technologies

University:

Program:

Accelerate

Evaluation of MRI-based estimation of cortical thickness

The most important structure in the human brain is the cerebral cortex. It makes it possible to perceive our visual environment and sounds, to perform motoric actions such as grasping an object, to speak, to understand speech, etc. The cerebral cortex is a 2-5 mm thick sheet, embedded in the skull. Analysis of MRI data makes it possible to estimate the thickness of the cerebral cortex. In certain neurological conditions such as mild cognitive impairment, Alzheimer’s disease and multiple sclerosis, the thickness of specific cortical areas decreases faster than in healthy aging. Therefore, cortical thickness is an important feature for MRI-based diagnosis of neurological diseases. In our study, we will evaluate algorithms and software packages for estimating cortical thickness. The results of our study will support MRI-based diagnosis of neurological diseases, the study of their pathophysiology, and using cortical-thickness as a biomarker for studying the efficacy of drugs.

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Faculty Supervisor:

Amir Shmuel

Student:

Sethu K. Boopathy Jegathambal

Partner:

NeuroRx Research Inc.

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Process Intensification approach for chemicals production from waste and biomass

This project aims to develop a sustainable approach to produce value-added products from waste and biomass. The industrial partner (Enerkem) uses municipal solid waste and other biomass to produce syngas, which is further converted to methanol or ethanol. Currently, the company seeks to enhance this capability by producing other value-added chemicals. One of the key steps in the desired technology is the production of methyl acetate. Enerkem recently patented a catalyst that is highly selective to methyl acetate during dimethyl ether carbonylation without the addition of a toxic iodide, as typically used in industry. The proposed project addresses the detailed regeneration study of the catalyst and the technology scale-up.

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Faculty Supervisor:

Natalia Semagina

Student:

Mohammad Reza Fayaz

Partner:

Enerkem

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Accelerate

Strengthening capacity of Canadian civil society organizations and their partners in the Global South to address gender inequality: Engagements, perceptions and uses of feminist approaches in international development

The goal of this project is to strengthen the capacity of Canadian civil society organizations (CSOs) working around the world to combat gender inequality. The Mitacs post-doctoral candidate, working closely with the Canadian Council of International Co-operation, a coalition of over 80 CSOs in Canada, will examine how different feminist approaches are applied in international development work. Through surveys and case studies, this project examines how organizations and their partners in the Global South implement feminist approaches into planning and programming. From this research, tools and resources highlighting successful strategies to gender equality and women’s empowerment will be developed and shared among CSO networks, thus fulfilling a key demand from the sector. Ultimately, this project will contribute to more efficient and long-term impact from public and private donor investments.

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Faculty Supervisor:

Rebecca Tiessen

Student:

Sheila Rao

Partner:

Canadian Council for International Co-operation

Discipline:

Business

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Photoacoustic remote sensing microscopy for pre-clinical and clinical applications

There is a desperate need for a fast, non-contact, non-invasive, safe and accurate technique that can measure oxygen saturation, oxygen metabolic activity and multilayered histology-like information. Oxygen saturation and oxygen metabolic activity play a vital role in understanding several diseases including early tumour and vision loss diagnosis and treatment. Additionally, when the oncologic care team must to remove a tumour, it is essential that no malignant tissue left behind. The ability to predict tumour aggressiveness, margin and metastatic potential could significantly affect clinical practice in oncology. It is also shown that abnormal retinal oxygen saturation and metabolic activity are the leading causes of vision loss (e.g. age-related macular degeneration, diabetic retinopathy and glaucoma). The ability to precisely detect aberrant retinal oxygen metabolic activity in a non-contact setting is essential for improving investigations and diagnoses of ocular diseases. In addition, for various applications is surgical oncology and optometry contact is impractical, or the working space and footprint is an issue (e.g. endoscopy and surgery). To address these needs, Mitacs funds are requested to recruit HQPs which is critical to the advance of Histological and Functional Photoacoustic Remote Sensing (HF-PARS) microscopy.

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Faculty Supervisor:

Glenn Heppler

Student:

Saad Abbasi

Partner:

illumiSonics Inc.

Discipline:

Engineering - other

Sector:

Life sciences

University:

Program:

Accelerate

AI-Based Automation of the Candidate Recruitment and Management System for TAS

TAS (Techno Aero Services Inc.) is a Canadian recruitment agency specialized in aeronautics, engineering, and technology. At TAS, candidates currently submit resumes to a database through a web interface. These resumes are then manually processed by recruiters before a suitable candidate is matched to a position. Through this laborious manual process, great prospective candidates often get lost in the piles. This project aims to leverage text mining and machine learning techniques to automatically collect information about prospective candidates from their submitted resume and profiles on social and professional networks like LinkedIn, Twitter, and Facebook to provide recruiters with an overall picture of a candidate’s strengths and weaknesses. Both the technical and communication skills of the candidates will be analyzed and summarized. The goal is to provide recruiters with the information they need to judge a candidate on both his mastery of key skills and his ability to fit into the company culture. In addition, we aim to leverage the existing data of the candidates and their employment records to build Business Intelligence (BI) component for the proposed system to predict business trends, support business decisions and to reach and recommend prospective candidates for available jobs in TAS’s job pool.

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Faculty Supervisor:

Foutse Khomh

Student:

Biruk Muse

Partner:

TAS Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Effect of ROS on neurovascular decoupling in epilepsy

In order for the brain to function well, it is important that blood vessels within the brain are healthy. In a healthy brain, these blood vessels can become larger and smaller when necessary, but this is no longer possible after epileptic seizures. An important group of compounds that regulate the size of blood vessels is ROS, but too much ROS is unhealthy for the brain. Therefore, we believe that too much ROS is produced during epileptic seizures. Luckily, the brain also contains antioxidants, which can normally clear the brain from ROS, but possibly not enough during epilepsy. In our project, we investigate if ROS indeed has a central role in disturbing blood vessels. We are able to look at blood vessels in the brain using a microscope and we can mimic epileptic seizures as well. Then we aim to prevent too much ROS production by delivering antioxidants to the brain, so that the brain blood vessels stay healthy.

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Faculty Supervisor:

Victor Rafuse

Student:

Gerben van Hameren

Partner:

EMAGIX Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Calibration-Free Continuous Pulse Oximeter Monitoring Using Deep Learning

Oxygen saturation, i.e. SpO2 is the fifth most important vital sign after heart rate (HR), body temperature (BT), blood pressure (BP), and breathing rate (BR). Oxygen saturation indicates if sufficient oxygen is being supplied to the body.
Continuous SpO2 monitoring is highly beneficial for detection and prevention of several diseases. In more details, continuous SpO2 monitoring is essential for people with sleep apnea syndrome, those who experience respiratory disorder or have chronic respiratory failure.
Such a system would continuously monitor blood oxygenation and send an alarm to the person or the caregiver when it falls below the normal range.
It is best to record the individual’s level of SpO2 continuously and over a long period to determine their typical range at rest and at various levels of activity so that abnormal decreases can be detected.
Since our device is non-invasive and allows immediate, continuous and real time monitoring, its use can be expanded to include other purposes such as screening, diagnosis, patient follow-up, and self-monitoring.

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Faculty Supervisor:

Hilmi Dajani

Student:

Mana Shahriari

Partner:

VitalTracer Ltd.

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

Accounting for uncertainties in dam safety assessment via machine learning techniques

When working with massive and complex structures such as dam-type structures it is required to generate a scale numerical model to simulate the real behaviour of the dam. The problem of this approach is that to be able to generate all possible hazard scenarios and system configuration, several computing hours are required. This represents a huge problem when the decision-making process need to be done in presence of natural disaster such as earthquakes. Thus, the main goal of this research is to replace the numerical model with a mathematical algorithm, which is orders of magnitude faster, to be able to predict the response of the dam under a seismic event. This research will allow Hydro-Quebec to implement this new methodology to provide quick answers to the owners and the society for a safety assessment.

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Faculty Supervisor:

Patrick Paultre

Student:

Rocio Segura

Partner:

Discipline:

Engineering - civil

Sector:

Energy

University:

Program:

Accelerate

ATP citrate lyase (ACLY) as a novel anti-cancer drug target for hepatocellular carcinoma

The net 5-year survival rate for patients suffering from liver cancer is less then 20 percent and the number of cases is rapidly increasing in Canada. Unfortunately, currently available oral chemotherapies can only extend median survival by 3 – 4 months making the development of new and effective drug treatments critical. The proposed study aims to pave the way for a new class of drugs to help fight liver cancer and give hope to patients suffering from this deadly disease.

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Faculty Supervisor:

Paola Muti

Student:

Jaya Gautam

Partner:

Espervita Therapeutics

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

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